PHS128 - Correlation Between Multidimensional Poverty Index, Inequity In Health And Social Inequality Variables In Colombia, 2005

Abstract

It was performed a diagnosis of the correlation among Multidimensional Poverty Index (MPI) (Colombian Adaptation) with quality of health services proxy variables, and inequality and poverty variables(2005). An ecological study was performed: the MPI was adapted by the Colombian government using the Alkire Foster Method of the Oxford Poverty and Human Development Initiative. The Unsatisfied Basic Needs indicator (UBNI), Gini coefficient (GC) and poverty line (PL) were obtained from National Statistics Department´s (DANE) databases. Maternal Mortality Rate (MMR) and Neonatal Mortality Rate (NMR) were estimated and standardized by age and sex, respectively. We estimated the Incidence of congenital syphilis (ICS). The Attributable Fraction (AF) was calculated as inequality indicator for these three variables: (AFMMR), (AFNMR) and (AFICS). We estimated Acute Myocardial Infarction Age-Standarized Rate (AMIASR) for each health regime. The Inequity in Health Index (IHI) was estimated. These data were estimated for each Colombian region for the year 2005, because MPI was specified in the same way for the same period. Normality was tested using the Shapiro-Wilks test. Sperman’s rho and Pearson’s rho were used according to normality. It was defined as correlated if p≤0.005, after Bonferroni adjustment. We found correlation between MPI and PL (Pearson r=-0.7748, p=0.0000); and UBNI (Spearman rho=0.8286, p=0.0000); there was not correlation with GC (Pearson r=-0.1785, p=0.4041); AFMMR (Spearman rho=0.3553, p=0.054); AFNMR (Spearman rho=0.3386, p=0.0539); AFICS (Spearman rho=–0.0543, p=0.7757); AMIASR subsidized regime, (Spearman rho=0.3032, p=0.0917), AMIASR, contributory regime, (Pearson r=0.31, p=0.1084). IHI: Spearman rho=0.3081, p=0.0811). We found correlation between MPI, PL and UBNI. There were not correlation with proxy variables in health, which suggests that MPI’s health dimension was not well adjusted for the Colombian case.